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I need some help using the following file to interplote:
ACC FG LFG FN LFN
0.04936 0.1000 -2.30258 0.100000 -2.30258
0.05197 0.1023 -2.27984 0.104713 -2.25653
0.05490 0.1047 -2.25665 0.109648 -2.21048
0.05815 0.1072 -2.23305 0.114815 -2.16443
0.06172 0.1096 -2.21091 0.120226 -2.11838
0.06572 0.1122 -2.18747 0.125893 -2.07232
0.07015 0.1148 -2.16456 0.131826 -2.02627
0.07504 0.1175 -2.14131 0.138038 -1.98022
0.08039 0.1202 -2.11859 0.144544 -1.93417
0.08622 0.1230 -2.09557 0.151356 -1.88812
0.09254 0.1259 -2.07226 0.158489 -1.84207
0.09935 0.1288 -2.04949 0.165959 -1.79601
0.10664 0.1318 -2.02646 0.173780 -1.74996
0.11442 0.1349 -2.00322 0.181970 -1.70391
0.12267 0.1380 -1.98050 0.190546 -1.65786
0.13139 0.1413 -1.95686 0.199526 -1.61181
0.14175 0.1445 -1.93447 0.208930 -1.56575
0.15294 0.1479 -1.91121 0.218776 -1.51970
0.16456 0.1514 -1.88782 0.229087 -1.47365
0.17655 0.1549 -1.86497 0.239883 -1.42760
0.18884 0.1585 -1.84200 0.251189 -1.38154
0.20132 0.1622 -1.81892 0.263027 -1.33549
0.21390 0.1660 -1.79576 0.275423 -1.28944
0.22644 0.1698 -1.77313 0.288403 -1.24339
0.23881 0.1738 -1.74985 0.301995 -1.19734
0.25080 0.1778 -1.72709 0.316228 -1.15129
0.26223 0.1820 -1.70374 0.331131 -1.10524
0.27291 0.1862 -1.68093 0.346737 -1.05918
0.28258 0.1905 -1.65810 0.363078 -1.01313
0.29093 0.1950 -1.63475 0.380190 -.96708
0.29770 0.1995 -1.61194 0.398107 -.92103
0.30263 0.2042 -1.58865 0.416870 -.87498
0.30537 0.2089 -1.56589 0.436516 -.82893
0.30544 0.2138 -1.54271 0.457088 -.78287
0.30247 0.2188 -1.51959 0.478630 -.73682
0.29615 0.2239 -1.49655 0.501187 -.69077
0.28960 0.2291 -1.47359 0.524808 -.64472
0.28485 0.2344 -1.45072 0.549541 -.59867
0.30136 0.2399 -1.42753 0.575440 -.55262
0.31710 0.2455 -1.40445 0.602560 -.50656
0.33128 0.2512 -1.38150 0.630958 -.46051
0.34313 0.2570 -1.35867 0.660694 -.41446
0.35188 0.2630 -1.33560 0.691831 -.36841
0.35718 0.2692 -1.31230 0.724436 -.32236
0.35917 0.2754 -1.28953 0.758578 -.27630
0.36316 0.2818 -1.26655 0.794329 -.23025
0.37290 0.2884 -1.24340 0.831764 -.18420
0.38344 0.2951 -1.22044 0.870964 -.13815
0.39043 0.3020 -1.19732 0.912011 -.09210
0.39396 0.3090 -1.17441 0.954993 -.04605
0.39985 0.3162 -1.15138 1.000000 0
0.41450 0.3236 -1.12824 1.047130 .04605
0.43143 0.3311 -1.10533 1.096480 .09210
0.44771 0.3388 -1.08234 1.148150 .13815
0.47168 0.3467 -1.05929 1.202260 .18420
0.49490 0.3548 -1.03620 1.258930 .23026
0.51511 0.3631 -1.01307 1.318260 .27631
0.53186 0.3715 -.99020 1.380380 .32235
0.54563 0.3802 -.96705 1.445440 .36841
0.55633 0.3890 -.94417 1.513560 .41446
0.56362 0.3981 -.92105 1.584890 .46051
0.56727 0.4074 -.89795 1.659590 .50657
0.56788 0.4169 -.87490 1.737800 .55261
0.56728 0.4266 -.85190 1.819700 .59867
0.57641 0.4365 -.82896 1.905460 .64472
0.58603 0.4467 -.80586 1.995260 .69077
0.59643 0.4571 -.78285 2.089300 .73682
0.60814 0.4677 -.75992 2.187760 .78287
0.62118 0.4786 -.73689 2.290870 .82893
0.63586 0.4898 -.71375 2.398830 .87498
0.65233 0.5012 -.69075 2.500000 .91629
0.67060 0.5129 -.66767 2.630270 .96708
0.69073 0.5248 -.64473 2.754230 1.01313
0.71189 0.5370 -.62175 2.884030 1.05918
0.73317 0.5495 -.59874 3.019950 1.10524
0.75327 0.5623 -.57571 3.162280 1.15129
0.77126 0.5754 -.55268 3.311310 1.19734
0.78658 0.5888 -.52966 3.467370 1.24339
0.80114 0.6026 -.50650 3.630780 1.28944
0.81494 0.6166 -.48353 3.801900 1.33550
0.82465 0.6310 -.46044 3.981070 1.38155
0.83545 0.6457 -.43742 4.168700 1.42760
0.87192 0.6607 -.41445 4.365160 1.47365
0.89542 0.6761 -.39141 4.570880 1.51970
0.90286 0.6918 -.36845 4.786300 1.56575
0.90188 0.7079 -.34545 5.000000 1.60943
0.93310 0.7244 -.32241 5.248080 1.65786
0.95971 0.7413 -.29934 5.495410 1.70391
0.98382 0.7586 -.27628 5.754400 1.74996
1.00700 0.7762 -.25334 6.025600 1.79601
1.03343 0.7943 -.23029 6.309580 1.84206
1.06588 0.8128 -.20727 6.606940 1.88812
1.09747 0.8318 -.18416 6.918310 1.93417
1.12372 0.8511 -.16122 7.244360 1.98022
1.14197 0.8710 -.13811 7.585780 2.02627
1.17310 0.8912 -.11518 7.943290 2.07232
1.19864 0.9120 -.09211 8.317640 2.11837
1.21004 0.9333 -.06902 8.709640 2.16443
1.23936 0.9550 -.04604 9.120110 2.21048
1.29665 0.9772 -.02306 9.549930 2.25653
1.35156 1.0000 0 10.000000 2.30258
1.35588 1.0233 .02303 10.471300 2.34863
1.35028 1.0471 .04602 10.964800 2.39469
1.45814 1.0715 .06905 11.481500 2.44073
1.58646 1.0965 .09212 12.022600 2.48678
1.65768 1.1220 .11511 12.589300 2.53284
1.68015 1.1482 .13819 13.182600 2.57889
1.66828 1.1749 .16118 13.803800 2.62494
1.63280 1.2023 .18423 14.454400 2.67099
1.57554 1.2303 .20725 15.135600 2.71704
1.68957 1.2589 .23023 15.848900 2.76310
1.77789 1.2882 .25324 16.595900 2.80915
1.83007 1.3183 .27634 17.378000 2.85520
1.83569 1.3490 .29936 18.197000 2.90125
1.81752 1.3804 .32237 19.054600 2.94730
1.82825 1.4125 .34536 19.952600 2.99335
1.90654 1.4454 .36838 20.893000 3.03941
2.01562 1.4791 .39143 21.877600 3.08546
2.12612 1.5136 .41449 22.908700 3.13151
2.17426 1.5488 .43748 23.988300 3.17756
2.08774 1.5849 .46052 25.000000 3.21887
2.08716 1.6218 .48353 26.302700 3.26967
2.20898 1.6596 .50657 27.542300 3.31572
2.17779 1.6982 .52956 28.840300 3.36177
2.13162 1.7378 .55261 30.199500 3.40782
2.14360 1.7783 .57565 31.622800 3.45387
2.08715 1.8197 .59867 33.113100 3.49992
2.13486 1.8621 .62170 34.673700 3.54598
2.17637 1.9055 .64474 36.307800 3.59203
2.18294 1.9498 .66772 38.019000 3.63808
2.13124 1.9953 .69079 39.810700 3.68413
2.08390 2.0417 .71378 41.687000 3.73018
2.05038 2.0893 .73682 43.651600 3.77623
2.03115 2.1380 .75987 45.708800 3.82229
2.00959 2.1878 .78289 47.863000 3.86834
1.98717 2.2387 .80589
1.97323 2.2909 .82894
1.95447 2.3442 .85194
1.92595 2.3988 .87496
1.90616 2.4547 .89800
1.89283 2.5119 .92103
1.85890 2.5704 .94406
1.83043 2.6303 .96709
1.85724 2.6915 .99009
1.88505 2.7542 1.01312
1.77733 2.8184 1.03616
1.69180 2.8840 1.05917
1.76313 2.9512 1.08221
1.78077 3.0199 1.10522
1.74368 3.0903 1.12826
1.76858 3.1623 1.15129
1.91199 3.2359 1.17430
1.89218 3.3113 1.19734
1.85754 3.3884 1.22035
1.84201 3.4674 1.24340
1.72153 3.5481 1.26641
1.73611 3.6308 1.28945
1.78069 3.7153 1.31245
1.76714 3.8019 1.33550
1.74338 3.8904 1.35851
1.72076 3.9811 1.38155
1.76225 4.0738 1.40457
1.81493 4.1687 1.42760
1.85171 4.2658 1.45062
1.80727 4.3651 1.47364
1.63550 4.4668 1.49667
1.64390 4.5709 1.51971
1.63947 4.6773 1.54272
1.76661 4.7863 1.56575
1.75548 4.8978 1.58878
1.68376 5.0119 1.61181
1.59784 5.1286 1.63483
1.65352 5.2481 1.65786
1.68904 5.3703 1.68088
1.67658 5.4954 1.70391
1.58422 5.6234 1.72693
1.57403 5.7544 1.74996
1.59865 5.8884 1.77298
1.60265 6.0256 1.79601
1.57255 6.1659 1.81903
1.56872 6.3096 1.84207
1.57285 6.4565 1.86508
1.58116 6.6069 1.88811
1.58493 6.7608 1.91114
1.58029 6.9183 1.93417
1.55489 7.0794 1.95718
1.48551 7.2443 1.98021
1.42415 7.4131 2.00324
1.39205 7.5858 2.02627
1.38055 7.7625 2.04930
1.37548 7.9433 2.07232
1.35374 8.1283 2.09535
1.32928 8.3176 2.11837
1.32623 8.5114 2.14140
1.27869 8.7096 2.16442
1.20828 8.9125 2.18745
1.17138 9.1201 2.21048
1.17550 9.3325 2.23350
1.15527 9.5499 2.25653
1.11919 9.7723 2.27955
1.09127 10.0000 2.30258
1.00977 10.2329 2.32560
1.02664 10.4713 2.34863
1.03375 10.7152 2.37166
1.01483 10.9648 2.39469
0.96235 11.2202 2.41771
0.91432 11.4815 2.44073
0.91424 11.7489 2.46375
0.93165 12.0226 2.48678
0.96171 12.3027 2.50981
0.97677 12.5892 2.53283
0.96434 12.8825 2.55586
0.93766 13.1825 2.57889
0.91964 13.4896 2.60191
0.90807 13.8038 2.62494
0.89788 14.1253 2.64796
0.88560 14.4544 2.67099
0.87609 14.7910 2.69401
0.87397 15.1356 2.71704
0.87727 15.4881 2.74007
0.88753 15.8489 2.76310
0.90663 16.2181 2.78612
0.93287 16.5958 2.80914
0.94922 16.9824 2.83217
0.95826 17.3780 2.85520
0.94872 17.7827 2.87822
0.95501 18.1970 2.90125
0.94370 18.6208 2.92427
0.91786 19.0545 2.94730
0.87897 19.4984 2.97033
0.83182 19.9526 2.99335
0.82762 20.4173 3.01638
0.85347 20.8929 3.03940
0.86560 21.3796 3.06243
0.88492 21.8775 3.08545
0.89277 22.3871 3.10848
0.89428 22.9086 3.13151
0.87937 23.4422 3.15453
0.86698 23.9883 3.17756
0.85060 24.5470 3.20058
0.83791 25.1188 3.22361
0.83129 25.7039 3.24664
0.82787 26.3026 3.26966
0.82560 26.9153 3.29269
0.82381 27.5422 3.31571
0.82228 28.1837 3.33874
0.82094 28.8402 3.36177
0.81973 29.5120 3.38479
0.81863 30.1994 3.40782
0.81763 30.9028 3.43084
0.81680 31.6227 3.45387
0.81619 32.3593 3.47690
0.81561 33.1130 3.49992
0.81506 33.8843 3.52295
0.81455 34.6736 3.54597
0.81406 35.4812 3.56900
0.81359 36.3077 3.59202
0.81316 37.1534 3.61505
0.81274 38.0188 3.63808
0.81235 38.9044 3.66110
0.81197 39.8106 3.68413
0.81162 40.7379 3.70715
0.81128 41.6868 3.73018
0.81096 42.6578 3.75321
0.81065 43.6514 3.77623
0.81036 44.6682 3.79926
0.81009 45.7087 3.82228
0.80983 46.7733 3.84531
0.80958 47.8628 3.86833
0.80934 48.9777 3.89136
ACC: acceleration in g's
FG: the given frequencies that correspond to each acc
LFG: the natural log of the given frequencies
FN: the freq values I need to use
LFN: the log of the freq values I need to use
I would now like to create a file that has two columns: the first being the FN column (frequencies needed) and the second being the acceleration value that goes w/ that frequency using a semi log interpolation. In essence, look at the LFN column, go to the closest corresponding LFG and interpolate to find the acc that would go w/ the LFN column.
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I am not sure if I get it. I made an awk script that doesn't do any interpolating, so it takes an FN-LFN pair and gets the corresponding ACC-LFG, where LFG is the closest number to LFN.
The FG column is unused.
awk 'BEGIN {nr_acc=-1; nr_fn=-1}
{ nr_acc++; if (NF==5) {nr_fn++;FN[nr_fn]=$4;LFN[nr_fn]=$5}; ACC[nr_acc]=$1; LFG[nr_acc]=$3}
END {
nr_acc++; ACC[nr_acc]=99999; LFG[nr_acc]=99999
for (logneed=1;logneed<=nr_fn;logneed++) {
previousclosest=999
for (loggive=1;loggive<=nr_acc;loggive++) {
closest=LFN[logneed]-LFG[loggive]
if (closest < 0) { closest=-closest }
if (closest > previousclosest) {
print FN[logneed] " --> " ACC[loggive-1] "\t\tbecause " LFN[logneed] " is the closest number to " LFG[loggive-1];
break
}
previousclosest=closest
}
}
}' allcol.txt
EDIT:
NB. Right you want to edit the print line to match your needs. Note that FN[logneed] matches every ACC[loggive-1] because the second for-loop is already one loop further.
So, print FN[logneed] "\t" ACC[loggive-1] is command line you want
Last edited by Procyon (2009-01-15 22:41:24)
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You could fit the apropriate curve to the data using ex. gnuplot, and then calculate from there.
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Procyon:
I would need to lookup/find the two given logs and two given acc. that correspond to the needed log. I then would use the interpolation equation of find the exact acceleration at the needed frequency. As you can see, the given and neededs match up rather well but as you move down they grow further apart.
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Procyon:
I would need to lookup/find the two given logs and two given acc. that correspond to the needed log. I then would use the interpolation equation of find the exact acceleration at the needed frequency. As you can see, the given and neededs match up rather well but as you move down they grow further apart.
OK, I get it a little better now. I used ACC totally wrong (FG matches FN of course). I don't know much about interpolation.
Let's solve one together so I understand it a little better.
Let's take FN/LFN pair 0.104713 -2.25653 on line 2
The closest ACC/FG/LFG pair is 0.05490 0.1047 -2.25665 on line 3
The second closest ACC/FG/LFG pair is 0.05815 0.1072 -2.23305 on line 4
LFG1 < LFG2 because it's sorted.
LFG1/LFG2 = -2.25665/-2.23305= 1.0105685
Interpolated ACC = 0.05490*1.0105685= 0.0554802106
You want the output
0.104713 0.0554802106
?
EDIT:
No that can't be right (it would divide by 0 at some point)
Better use wikipedia
ACC1 < ACC2 and LFG1 < LFG2
Interpolated ACC = ACC1 + (( LFN - LFG1 ) * ( ACC2 - ACC1 ) / ( LFG2 - LFG1 ) )
= 0.05490+((-2.25653--2.25665)*(0.05815-0.05490)/(-2.23305--2.25665)= 0.0549165254
?
Last edited by Procyon (2009-01-16 01:24:21)
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Thank you....pretty much....the formula for interpolation:
acc=acc1+((LFN-LFG1)*(acc2-acc1))/(LFG2-LFG1)
0.0549171=0.05490+((-2.25653--2.25665)*(0.05815-0.5490))/(-2.23305--2.25665)
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Haha yeah, that's what I needed to know.
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sorry, i didn't scroll down to the end of your last post...I just wrote what you did w/o knowing it.
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sorry, i didn't scroll down to the end of your last post...I just wrote what you did w/o knowing it.
Well my edit was later than your post, so you weren't mistaken.
Here is another attempt. I checked several of the results and it seems to be correct.
awk 'BEGIN {nr_acc=-1; nr_fn=-1}
{ nr_acc++; if (NF==5) {nr_fn++;FN[nr_fn]=$4;LFN[nr_fn]=$5}; ACC[nr_acc]=$1; LFG[nr_acc]=$3}
END {
nr_acc++; ACC[nr_acc]=99999; LFG[nr_acc]=99999
for (logneed=1;logneed<=nr_fn;logneed++) {
secondpreviousclosest=999
previousclosest=999
for (loggive=1;loggive<=nr_acc;loggive++) {
closest=LFN[logneed]-LFG[loggive]
if (closest < 0) { closest=-closest }
if (closest > previousclosest) {
if (closest < secondpreviousclosest) {
ACC1=ACC[loggive-1];ACC2=ACC[loggive]
LFG1=LFG[loggive-1];LFG2=LFG[loggive]
LFN1=LFN[logneed]
}
else {
ACC1=ACC[loggive-2];ACC2=ACC[loggive-1]
LFG1=LFG[loggive-2];LFG2=LFG[loggive-1]
LFN1=LFN[logneed]
}
#switch around if necessary
if (ACC1 > ACC2) {
ACC3=ACC2
LFG3=LFG2
ACC2=ACC1
LFG2=LFG1
ACC1=ACC3
LFG1=LFG3
}
#print LFG1 ":" LFN1 ":" LFG2
#print ACC1 " < " ACC2
ACC_INT=ACC1+((LFN1-LFG1)*(ACC2-ACC1)/(LFG2-LFG1))
print LFN1 "\t" ACC_INT
break
}
secondpreviousclosest=previousclosest
previousclosest=closest
}
}
}' allcol.txt
EDIT:
ah wait there is a mistake
EDIT:
Forgot to update secondpreviousclosest.
But now there is a new error where LNF isn't in between LFG1 and LFG2. I don't really see why it is happening.
EDIT:
I understand now. The second previous one may be smaller because the numbers may be closer together.
So 1 - 1.2 - 99
1.3 would be reported as between 1 and 1.2!
Will update in a second.
Last edited by Procyon (2009-01-16 02:56:52)
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So secondpreviousclosest is redundant. It will now compare LFN and LFG1
awk 'BEGIN {nr_acc=-1; nr_fn=-1}
{ nr_acc++; if (NF==5) {nr_fn++;FN[nr_fn]=$4;LFN[nr_fn]=$5}; ACC[nr_acc]=$1; LFG[nr_acc]=$3}
END {
nr_acc++; ACC[nr_acc]=99999; LFG[nr_acc]=99999
for (logneed=1;logneed<=nr_fn;logneed++) {
previousclosest=999
for (loggive=1;loggive<=nr_acc;loggive++) {
closest=LFN[logneed]-LFG[loggive]
if (closest < 0) { closest=-closest }
if (closest > previousclosest) {
if (LFN[logneed] > LFG[loggive-1]) {
ACC1=ACC[loggive-1];ACC2=ACC[loggive]
LFG1=LFG[loggive-1];LFG2=LFG[loggive]
LFN1=LFN[logneed]
}
else {
ACC1=ACC[loggive-2];ACC2=ACC[loggive-1]
LFG1=LFG[loggive-2];LFG2=LFG[loggive-1]
LFN1=LFN[logneed]
}
#switch around if necessary
if (ACC1 > ACC2) {
ACC3=ACC2
LFG3=LFG2
ACC2=ACC1
LFG2=LFG1
ACC1=ACC3
LFG1=LFG3
}
#print ACC1 " < " ACC2 " ?"
#print LFG1 ":" LFN1 ":" LFG2
ACC_INT=ACC1+((LFN1-LFG1)*(ACC2-ACC1)/(LFG2-LFG1))
print LFN1 "\t" ACC_INT
break
}
previousclosest=closest
}
}
}' allcol.txt
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the only thing is I need it to have frequencies needed FN in the first column...not the logs of them. You are awesome!!!!
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Haha, well it was quite a fun one, I really like it when you post these things.
On this line
print LFN1 "\t" ACC_INT
LFN1 should then be FN[logneed]
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This sounds a lot like homework...
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its not homework...its a research project I am working on for work...i am just new to scripting
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There is still a boundary problem if the first or last LFN is less or more than the first or last LFG, because then it will use the very first item in the array which is a string so "0" and the last is "99999".
Perhaps it should be hard-coded to not use those values, unless none of the data is like that.
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it is ok...they all start and stop w/ the same frequencies. Quick couple of ?'s so I can get better at scripting:
1. Where in the script would I be able to scale all the interpolated accelerations to the same number of digits?
2. Does LFN[nr_fn]=$5 mean assign all of column 5 to the array LFN?
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1. I don't know what you mean, can you give an example?
2. Yeah, nr_fn is counting how many FN-LFN there.
It is in an if statement that presumes FN-LFN makes 5 columns:
if (NF==5) {nr_fn++;FN[nr_fn]=$4;LFN[nr_fn]=$5};
NF is awk's own 'Number of Fields' variable.
For example, LFN[0] is the string "LFN". That is why the for-loops start at 1.
EDIT: Rephrase
Last edited by Procyon (2009-01-16 22:36:36)
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thanks...another ? Suppose I have the following file:
Freq PSD
0 1.48949E-08
0.024414063 7.29445E-05
0.048828125 0.00035897
0.073242188 0.000250713
0.09765625 0.000421121
0.122070313 0.004537666
0.146484375 0.012490833
0.170898438 0.016910983
0.1953125 0.012997485
0.219726563 0.005330209
0.244140625 0.000944883
0.268554688 0.002047857
0.29296875 0.007425774
0.317382813 0.015317194
0.341796875 0.02239152
0.366210938 0.024547514
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44.84863281 5.52403E-05
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44.97070313 6.30738E-06
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45.06835938 3.13667E-05
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45.14160156 4.19547E-05
45.16601563 3.12273E-05
45.19042969 1.72073E-05
45.21484375 7.24813E-06
45.23925781 8.20607E-06
45.26367188 2.2027E-05
45.28808594 4.01246E-05
45.3125 5.0721E-05
45.33691406 5.59594E-05
45.36132813 6.92707E-05
45.38574219 9.49526E-05
45.41015625 0.000124166
45.43457031 0.000148863
45.45898438 0.000169501
45.48339844 0.000193748
45.5078125 0.000229458
45.53222656 0.000270815
45.55664063 0.000297951
45.58105469 0.00030082
45.60546875 0.000290901
45.62988281 0.000279189
45.65429688 0.000260022
45.67871094 0.00022682
45.703125 0.000187449
45.72753906 0.000156481
45.75195313 0.000142418
45.77636719 0.00014138
45.80078125 0.000137038
45.82519531 0.000115737
45.84960938 8.53139E-05
45.87402344 6.60116E-05
45.8984375 6.31426E-05
45.92285156 6.37603E-05
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46.09375 3.77232E-05
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46.14257813 2.06155E-05
46.16699219 2.2599E-05
46.19140625 3.19963E-05
46.21582031 4.49041E-05
46.24023438 5.6066E-05
46.26464844 6.00797E-05
46.2890625 5.58999E-05
46.31347656 4.91054E-05
46.33789063 4.51349E-05
46.36230469 4.37469E-05
46.38671875 4.31158E-05
46.41113281 4.207E-05
46.43554688 3.72126E-05
46.45996094 2.64605E-05
46.484375 1.39669E-05
46.50878906 5.14581E-06
46.53320313 1.11275E-06
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46.58203125 5.21175E-06
46.60644531 1.35336E-05
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46.70410156 2.18092E-05
46.72851563 1.32896E-05
46.75292969 1.00058E-05
46.77734375 9.64244E-06
46.80175781 8.72184E-06
46.82617188 6.47082E-06
46.85058594 3.87501E-06
46.875 2.14263E-06
46.89941406 1.42727E-06
46.92382813 1.13605E-06
46.94824219 1.42367E-06
46.97265625 2.34234E-06
46.99707031 3.03433E-06
47.02148438 3.92817E-06
47.04589844 6.74367E-06
47.0703125 1.12489E-05
47.09472656 1.49762E-05
47.11914063 1.57483E-05
47.14355469 1.36826E-05
47.16796875 1.19633E-05
47.19238281 1.31833E-05
47.21679688 1.44997E-05
47.24121094 1.17148E-05
47.265625 6.3596E-06
47.29003906 2.55712E-06
47.31445313 9.24496E-07
47.33886719 3.32455E-07
47.36328125 9.35783E-07
47.38769531 3.20982E-06
47.41210938 6.71924E-06
47.43652344 9.63721E-06
47.4609375 1.04064E-05
47.48535156 1.11096E-05
47.50976563 1.48147E-05
47.53417969 1.92357E-05
47.55859375 1.94748E-05
47.58300781 1.57288E-05
47.60742188 1.2062E-05
47.63183594 1.04087E-05
47.65625 9.99475E-06
47.68066406 9.35326E-06
47.70507813 7.57333E-06
47.72949219 5.77934E-06
47.75390625 5.48807E-06
47.77832031 5.26725E-06
47.80273438 3.33272E-06
47.82714844 1.57621E-06
47.8515625 2.12292E-06
47.87597656 3.4338E-06
47.90039063 3.42254E-06
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47.94921875 2.46316E-06
47.97363281 4.06897E-06
47.99804688 5.97012E-06
48.02246094 5.97868E-06
48.046875 5.21896E-06
48.07128906 6.45961E-06
48.09570313 8.3845E-06
48.12011719 7.90984E-06
48.14453125 6.11981E-06
48.16894531 5.93359E-06
48.19335938 7.31841E-06
48.21777344 8.20021E-06
48.2421875 7.08622E-06
48.26660156 4.69369E-06
48.29101563 3.77175E-06
48.31542969 5.00289E-06
48.33984375 5.39403E-06
48.36425781 3.68403E-06
48.38867188 2.50339E-06
48.41308594 3.13968E-06
48.4375 3.78312E-06
48.46191406 3.34971E-06
48.48632813 2.749E-06
48.51074219 3.28163E-06
48.53515625 5.13032E-06
48.55957031 6.36947E-06
48.58398438 5.54942E-06
48.60839844 5.0107E-06
48.6328125 6.97999E-06
48.65722656 8.98108E-06
48.68164063 8.49623E-06
48.70605469 7.46568E-06
48.73046875 8.2095E-06
48.75488281 1.00262E-05
48.77929688 1.0972E-05
48.80371094 9.86227E-06
48.828125 7.97814E-06
48.85253906 8.05582E-06
48.87695313 9.27829E-06
48.90136719 8.2109E-06
48.92578125 5.76882E-06
48.95019531 5.76981E-06
48.97460938 7.80135E-06
48.99902344 8.60536E-06
49.0234375 7.46533E-06
49.04785156 6.01932E-06
49.07226563 5.90436E-06
49.09667969 7.07371E-06
49.12109375 7.28924E-06
49.14550781 5.76399E-06
49.16992188 5.29374E-06
49.19433594 7.00395E-06
49.21875 7.75377E-06
49.24316406 5.9871E-06
49.26757813 4.2824E-06
49.29199219 4.64969E-06
49.31640625 6.21718E-06
49.34082031 7.08047E-06
49.36523438 6.27902E-06
49.38964844 5.43183E-06
49.4140625 6.78544E-06
49.43847656 8.62115E-06
49.46289063 7.704E-06
49.48730469 5.59562E-06
49.51171875 5.82235E-06
49.53613281 7.59963E-06
49.56054688 8.13924E-06
49.58496094 7.17615E-06
49.609375 6.33467E-06
49.63378906 7.03995E-06
49.65820313 8.53932E-06
49.68261719 8.07687E-06
49.70703125 5.75349E-06
49.73144531 5.27383E-06
49.75585938 7.13112E-06
49.78027344 7.72042E-06
49.8046875 6.17812E-06
49.82910156 5.11525E-06
49.85351563 5.69187E-06
49.87792969 6.74328E-06
49.90234375 6.71684E-06
49.92675781 5.36537E-06
49.95117188 4.81493E-06
49.97558594 6.5071E-06
50 7.85524E-06
I would like to find the rolling average of each value of the second column over a range of +\- 20% of the first column...which means for example: at 5.004882813 (freq) I have a PSD of 0.002682703. I would then take find the +\- 20% of 5.004882813....which is 4.00390625 and 6.005859375. I would then take the average of the PSD's over that range (from 0.00191024 to 0.00038013) which would give me a PSD of 0.017240039. Do this for each PSD value. For the front and back end of the file, if there is less 20% available....say at 0 (freq) you can only take the +20% because there is no -20%...just take that. ....Hope that makes sense..
remember...you Procyon...you said you liked these!!!!!
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I am close, but there is a rounding error,
It counts all freq for every freq-20%:freq+20%
here is some debugging output of the format:
"is freq-20% : freq : freq+20% those are from freq"
is 4.00391 : 4.00390625 : 6.00586 those are from 5.004882813
is 4.00391 : 4.028320313 : 6.00586 those are from 5.004882813
Match!
is 4.00391 : 4.052734375 : 6.00586 those are from 5.004882813
Match!
The calculation of the percentage is:
freqmt[i]=$1-($1/5)
I'll look for a better way.
EDIT:
Actually:
echo 5.004882813 | awk '{printf "%.10f", $1-$1/5}'
4.0039062504
It seems it doesn't round enough. I wonder if there is a function for that, otherwise all numbers will become int(number*100,000,000)
Last edited by Procyon (2009-01-26 22:38:02)
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OK here it is
If someone knows a way to round numbers better, then let me know.
Right now it just rounds when it needs to, so average calculation is not affected.
You have to force it to give more accurate results at the end with printf %.10g
awk 'BEGIN { i=0 }
/^[^F]*$/{freq[i]=$1;psd[i]=$2;freqmt[i]=$1-($1/5);freqpt[i]=$1+($1/5);i++}
END {
for (b=0;b<i;b++) {
count=0
sum=0
for (a=0;a<i;a++) {
# print "is " freqmt[b] " : " freq[a] " : " freqpt[b] " those are from " freq[b]
if (int(100000000*freqmt[b]) <= int(100000000*freq[a]) && int(100000000*freqpt[b]) >= int(100000000*freq[a])) {
# print "Match!"
count=count+1
sum=sum+psd[a]
}
if (freqpt[b] < freq[a]) {break}
}
if ( count > 0) { avg[b]=sum/count }
else {avg[b]=psd[b]}
}
for (a=0;a<i;a++) {
printf "%.10g\t%.10g\n", psd[a], avg[a]
}
}' table
Your example gives:
0.002682703 0.0172400387
edit:
actually for speed it's alright it must have been all the debugging output.
edit2:
I have a much better idea and that is changing the percentage slightly in the favor of finding something. Now I wonder if the number is enough. I will run a small test.
awk 'BEGIN { i=0; FMT="%.10g" }
/^[^F]*$/{freq[i]=$1;psd[i]=$2;freqmt[i]=$1-($1/5)-0.0000001;freqpt[i]=$1+($1/5)+0.0000001;i++}
END {
for (b=0;b<i;b++) {
count=0
sum=0
for (a=0;a<i;a++) {
# print "is " freqmt[b] " : " freq[a] " : " freqpt[b] " those are from " freq[b]
if (freqmt[b] <= freq[a] && freqpt[b] >= freq[a]) {
# print "Match!"
count=count+1
sum=sum+psd[a]
}
if (freqpt[b] < freq[a]) {break}
}
if ( count > 0) { avg[b]=sum/count }
else {avg[b]=psd[b]}
}
for (a=0;a<i;a++) {
print psd[a] "\t" avg[a]
}
}' table
(for your example the result is the same)
EDIT:
I did a rough scan and I think the largest of small differences are:
negative number means that it is matching, positive means that it isn't
The number means by what margin
0.0048828080 -0.0195312520
0.0048828080 -0.0195312520
0.0000000040 -0.0244140590
0.0000000040 -0.0244140590
.....
0.0000000004 -0.0244140626
my number
0.000000001
You see the gap. And you see that 0.000000001 is not enough.
I have changed 0.000000001 to 0.0000001 in the code above (the second code block)
EDIT:
Just for the record, and this is something that applies to anything previously too, FMT="%.10g" is a good idea to put in the BEGIN section. This makes all print statements use that accuracy. I have edited the previous answer to do it that way.
Last edited by Procyon (2009-01-27 15:15:34)
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This looks great...I checked it w/ excel and all is good!!! A few ?'s for my growth:
Can you pt me to a site that gives basic knowledge of the character meanings:
for example you start your script w/
awk 'BEGIN { i=0 }
/^[^F]*$/{freq[i]=$1;psd[i]=$2;freqmt[i]=$1-($1/10)-0.0000001;freqpt[i]=$1+($1/10)+0.0000001;i++}
END {
I understand the defining of the variables, the awk command,etc....just want to truly understand 'BEGIN { i=0 }
/^[^F]*$/{.........}END
Thanks again.
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I edited the previous post right after your reply by the way.
'BEGIN { i=0 }
/^[^F]*$/{.........}END
That means
The BEGIN block, before the script runs. it initializes variables. (I put FMT= there too)
BEGIN { ... }
The second block is usually just
{ ... }
But now I put a regex that that it has to match
/^[^F]*$/ { ... }
That one means
Match the start: ^
Match any number of characters that are not F: [^F]*
Match the end: $
(EDIT: and this block is run for every line, but we don't want it to match the first line with Freq:)
And the END block, which is run afterwards.
END { ... }
'man awk' has lots of info on data-types, variables and functions.
Here is a good tutorial: unix grymoire
Last edited by Procyon (2009-01-27 18:02:59)
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